Criteo has introduced its Agentic Commerce Recommendation Service, an AI‑driven engine that delivers product suggestions to shopping assistants and chatbots.
The service is built on Criteo’s proprietary Shopper Graph and AI Engine and is delivered through the Model Context Protocol (MCP). Internal testing in January 2026 showed a 60 % improvement in recommendation relevancy over solutions that rely only on product descriptions.
Criteo’s data foundation underpins the service: the company tracks 720 million daily shoppers, processes $1 trillion in annual transactions, and catalogs 4.5 billion SKUs. That scale gives the recommendation engine a breadth of context that competitors lack.
The launch signals a strategic pivot toward agentic commerce, positioning Criteo to capture a growing share of AI‑assistant markets. By embedding commerce intelligence into LLM‑driven assistants, the company aims to boost conversion rates and basket sizes for retailers while reinforcing its competitive moat.
Criteo is currently testing the service with a major LLM platform that began in 2025 and plans to expand testing to additional partners. The phased rollout will allow the company to refine the engine and demonstrate value to a broader set of retailers and brands.
CEO Michael Komasinski said the service “brings commerce intelligence into AI‑driven shopping experiences in a way that works for the entire ecosystem, delivering relevancy for consumers while respecting retailer data and brand integrity.” The data‑driven approach is expected to strengthen customer loyalty and open new monetization pathways for Criteo’s media and performance‑media businesses.
The content on EveryTicker is for informational purposes only and should not be construed as financial or investment advice. We are not financial advisors. Consult with a qualified professional before making any investment decisions. Any actions you take based on information from this site are solely at your own risk.